Senior ML Engineer: Scalable Models & Personalisation

Sky; Hounslow; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Free Sky TV or NOW package

Pension up to 9% employer contribution

Private healthcare with mental health?

Aviva Digital GP and dental insurance

Discounts on Sky products

Sharesave and Tech schemes

Sky VIP rewards

Job summary

Sky is seeking an experienced ML Engineer to build and deploy scalable machine learning solutions that power customer experience and commercial decision-making across Sky.

You’ll develop robust feature pipelines, work with data scientists, engineers and product teams to translate business needs into production-ready systems, and optimize ML workflows in a large-scale cloud environment.

Qualifications

• Solid Python engineering skills and production-grade code experience.
• Hands-on data engineering workflows, data modelling and pipelines.
• Experience deploying ML models and analytics apps to cloud platforms.
• Familiar with ML ops, monitoring, CI/CD and reproducible workflows.
• Understanding of microservices, containers and orchestration tools.

Responsibilities

• Build and deploy scalable ML solutions powering customer experience and commercial decision-making.
• Develop robust feature engineering pipelines for ML models and analytical products.
• Collaborate with data scientists, engineers and product teams to translate needs into production-ready systems.
• Implement, test, and optimise ML workflows ensuring reliability in a large-scale cloud environment.
• Stay current with emerging ML engineering techniques and bring innovative approaches.

Skills

Python

ML engineering

Data engineering

Cloud deployment

CI/CD

Communication

Tools

Docker

Kubernetes

GCP

SQL

Job description

Sky is seeking an experienced ML Engineer to build and deploy scalable machine learning solutions that power customer experience and commercial decision-making across Sky.

You’ll develop robust feature pipelines, work with data scientists, engineers and product teams to translate business needs into production-ready systems, and optimize ML workflows in a large-scale cloud environment.